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Author

Robert M. Raddi

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Preprint Sep 2026

Deep Generative Markov State Models with Experimental Restraints

BICePs-reweighted Reversible DeepMSMs are introduced, combining Bayesian Inference of Conformational Populations (BICePs), variational learning of Markov processes, and maximum entropy (MaxEnt)/maximum caliber (MaxCal) principles to infer consistent thermodynamics and minimally perturbed kinetics.

Robert M. Raddi, Vincent A. Voelz · 0 citations

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